Cerbrec Graphbook: AI Modeling, Made Intuitive

Cerbrec at AI Summit 2023

Past

December 7-8, 2023 Javits Center | New York

Taking place in the nexus of global commerce, the AI Summit New York is your chance to meet the ecosystem’s pioneering tech authorities and get exclusive access to the business leaders driving them. Take a deep dive into practical solutions and explore the use cases where organizations are turning technological development into real-world applications and improving business processes. Get inspired through exclusive insights, networking sessions, interactive demos, upskilling workshops, discussions and many more features available to you to experience across the two jam-packed days.

Cerbrec is proud to be an exhibitor at AI Summit 2023. Given the rising demand to create niche genai models, we would like to invite you to join us as we share our observations and how Cerbrec Graphbook can help your company create custom models that fit into your ai strategy.

Visit Cerbrec
Booth # S8
Thursday, December 7st
11:00 AM – 5:00 PM
Friday, December 7st
11:00 AM – 5:00 PM

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Focus on diagramming model architecture

Graphbook expands the value of pre-trained LLMs and deep learning models.

Essential for Building In-House AI

Enhance Model Visibility

Graphbook lowers technical barriers and empowers researchers to build LLMs and deep learning models with clarity, visualizing every component. Intelligent diagramming reduces the risk of error-prone “model surgeries” when customizing AI model architecture with a drag-and-drop experience.

Improve Sharing and Collaboration

Graphbook makes it easier to explain and examine your AI models with our intuitive diagrams. Effortlessly share blueprints and discuss model steps with teams and community without stepping through code.

Prioritize Model Safety

Graphbook’s visual interface shines a light on black box AI, facilitating the troubleshooting of output errors in production and ensuring model safety with systematic fixes, instead of hard-coded rules that live outside the model.